copulafit

Image Reconstruction

说明：  EA名称：套利精灵 EA类型：对冲套利 一、功能介绍 本EA遵行顺大势，逆小势策略入场交易； 二、核心优势 多货币套利，对冲风险获取盈利，每月有一次机会单局最大利润达到30% 三、注意事项 （1）如适用周期：该EA只须在欧美一分钟图表上，就能运行多对货币。 （2）资金要求：建议3000美金，最少入金不少于1000美金 （3）时间段：全时段，正常情况无需人工干预，在盈利的情况下，可视情况自行平仓;(EA Name: Arbitrage Elf EA Type: Hedging Arbitrage I. Introduction of Functions This EA follows the general trend and counter-minor strategy to enter the market. II. Core Advantages Multi-currency arbitrage, hedging risk for profit, once a month, the maximum profit of a single board reached 30%. Notes (1) If applicable: the EA can run multiple pairs of currencies only on a one-minute chart in Europe and the United States. (2) Capital requirements: Recommend $3000, at least $1000 (3) Time period: Full-time period, normal conditions without manual intervention, in the case of profit, according to the circumstances of self-liquidation;)

高斯光束在传播过程中，在光腰处的二维和三维以及焦点处的光强分布图(Gaussian beam propagation, the light intensity distribution in two and three dimensions as well as the focal point of the beam waist at)

基于VC_和MATLAB混合编程绘制三维图形(VC_ and MATLAB mixed programming based on three-dimensional graphics rendering)

使用1749年至1924年太阳黑子的经典序列来确定和估计具有观测误差的模型(specification and estimation of models with observation errors using W?lfer’s classic time series of total number of sunspots from 1749 to 1924)

k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

MLPG is a combination of collocation method and EFG

radar systemview源码，我花钱买的，很难找的哦。(the the radar systemview source I spend money on hard to find, oh.)

MATLAB语言完整命令代码集 (MATLAB language complete command code set)

对灰度图像进行立体匹配，在图像的最大视差范围内进行搜索(To stereo matching of gray image, the image of the maximum parallax within the scope of the search)